Harvesting Metadata From Network Traffic
Every day I work on all sorts of modern and cutting edge technologies and I love learning about new stuff. I think I can trace this back to growing up on a farm, there was always something to fix or take apart. In spite of the perception that some people have of the agricultural sector, today's farms rely on huge amounts of technology and data analytics. Here in Ireland the harvest season has come to an end and we are all getting ready for the cooler temperatures of autumn.
Harvest machinery has been serviced and parked up for another year including one of my favorites, the combine harvester. I spend hours on YouTube learning about the latest models and what goes on behind the scenes. For centuries they have been a vital cog in the global food chain. The theory behind them is simple, gather raw material up front and pass it through different filters and separators which allows us to extract the valuable grain which we can then use. The basics have remained the same over the years but the size of the machines has increased as we demand more efficiency and larger harvests.
But how, you may ask how is this combine machine connected to metadata and network traffic?